CATs++ Boosting Cost Aggregation With Convolutions and Transformers

par Cho, Seokju
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

par Kim, Sunok
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Pyramidal Semantic Correspondence Networks

par Jeon, Sangryul
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

On the Confidence of Stereo Matching in a Deep-Learning Era A Quantitative Evaluation

par Poggi, Matteo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

Memory-Guided Image De-Raining Using Time-Lapse Data

par Cho, Jaehoon
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2021)

Discrete-Continuous Transformation Matching for Dense Semantic Correspondence

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2020)

Learning to Find Unpaired Cross-Spectral Correspondences

par Jeong, Somi
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2019)

FCSS Fully Convolutional Self-Similarity for Dense Semantic Correspondence

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2019)

Unified Confidence Estimation Networks for Robust Stereo Matching

par Kim, Sunok
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2019)

DASC Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2017)